Cwhatuc: software tools for predicting, visualizing and simulating corneal visual acuity

CWhatUC : Software Tools for Predicting, Visualizing and Simulating Corneal Visual Acuity by Daniel Dante Garcia Doctor of Philosophy in Computer Science University of California at Berkeley Professor Brian A. Barsky, Chair The cornea is the transparent tissue covering the front of the eye, and performs about two-thirds of the refraction, or bending of light into the eye. Thus, subtle variations in its shape signi cantly a ect a patient's visual acuity. Clinicians need to know the shape and refractive contribution of the cornea for several reasons: corneal refractive surgery, contact lens tting and diagnosis of eye conditions. Instruments that measure the cornea's topography are called corneal topographers (CTs), and they have recently become a quite common tool for clinicians. These devices typically shine rings of light onto the cornea and capture the re ection pattern with a video camera. The raw data is extracted from the CT and a spline surface representation is constructed from these re ection patterns. All of our visualization and analysis is performed on these corneal surface representations. In this work, we present CWhatUC, a set of software tools for the prediction,

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